Data Scientist

The Data Scientist will be part of the Advanced Analytics team responsible for understanding business need, analyzing, and translating enterprise-wide data into actionable insights, building predictive models, and addressing business opportunities with innovations. This role reports to the lead data scientist and involves working with cross-functional teams to develop analytical solutions, perform data preparation, and contribute to the implementation of AI-based and machine learning algorithms. The ideal candidate should have a strong foundation in numerical analysis, statistics, programming skills, and a passion for leveraging data to solve real-world problems.

Use cases to be worked on can range from customer engagement and experience, financial optimization and forecasting, geo-spatial analytics, supply chain analytics, video analytics, NLP and conversational, sentiment analysis, and Gen AI.

Data Preparation and Cleaning:

• Cleansing and preprocessing for analysis, ensuring data quality and consistency and reliability for analysis.
• Conduct exploratory data analysis to understand data distributions and identify patterns, trends, behaviors, and relationships within the data sets.

Statistical Analysis and Modeling:

• Development, deployment, and monitoring of statistical models, geo-spatial platform, and machine learning algorithms.
• Data profiling, analysis and infighting relevant to location, trade area, and consumers including campaign and intervention and its implication to demand, supply, and other business dynamics.

Data Visualization and Reporting:

• Create narratives and presentations that explain models and insights, convince stakeholders of propositions, develop ways to measure value and benefits.

Collaboration and Learning:

• Work closely with cross-functional teams and stakeholders across Marketing, Finance, Network Development, Stores and Operations, Digital, or Supply Chain SMEs to collaborate on use cases

Model Operationalization

• Participate in developing capabilities for model deployment and operations including documenting procedures, updating AI playbooks, and model documentation.
• Contribute to knowledge sharing and enrichment in the data science field.

Job Qualifications:

Education:

Bachelor's or Master's degree in Computer Science, Data Science, Physics, Statistics, Mathematics, or a related field.

Experience:

• Determining the right statistical approach to solve a business problem.
• Being flexible to handle various data science tools from data management, model development and monitoring, model libraries such as AWS, Snowflake, Sagemaker, GCP/BigQuery, and GIS tools.
• Working with business groups and stakeholders to understand business problem, to propose and deploy models and measure results.
• Strong communication and collaboration skills.
• Prior experience in data analysis or data science roles is a plus.
• Nice to have. Experience is more important.
• Strong programming skills in languages such as Python, R, or SQL.
• Knowledge of statistical techniques and machine learning algorithms.
• Experience with data visualization tools such as matplotlib, seaborn, Power BI, or Tableau.
• Excellent problem-solving skills and attention to detail.

Location:

• Must be willing to work in Ortigas, Pasig (Hybrid Work Setup)